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3D Keypoint Tracking Based on Hybrid Flow Computation for Human Motion Analysis

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dc.contributor.authorBae, Su Jungko
dc.contributor.authorHong, Sung Eunko
dc.contributor.authorYang, Hyun-Seungko
dc.date.accessioned2019-04-15T21:30:18Z-
dc.date.available2019-04-15T21:30:18Z-
dc.date.created2014-01-14-
dc.date.created2014-01-14-
dc.date.issued2013-05-20-
dc.identifier.citationThe 13th IAPR International Conference on Machine Vision Applications, MVA 2013, pp.268 - 271-
dc.identifier.urihttp://hdl.handle.net/10203/258439-
dc.languageEnglish-
dc.publisherIAPR-
dc.title3D Keypoint Tracking Based on Hybrid Flow Computation for Human Motion Analysis-
dc.typeConference-
dc.identifier.scopusid2-s2.0-85083084450-
dc.type.rimsCONF-
dc.citation.beginningpage268-
dc.citation.endingpage271-
dc.citation.publicationnameThe 13th IAPR International Conference on Machine Vision Applications, MVA 2013-
dc.identifier.conferencecountryJA-
dc.contributor.localauthorYang, Hyun-Seung-
dc.contributor.nonIdAuthorBae, Su Jung-
dc.contributor.nonIdAuthorHong, Sung Eun-
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CS-Conference Papers(학술회의논문)
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